E. W. Sachs

112 total papers · 2.1k total citations
72 papers, 1.2k citations indexed

About

E. W. Sachs is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, E. W. Sachs has authored 72 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Numerical Analysis, 35 papers in Computational Theory and Mathematics and 19 papers in Computational Mechanics. Recurrent topics in E. W. Sachs's work include Advanced Optimization Algorithms Research (26 papers), Matrix Theory and Algorithms (22 papers) and Iterative Methods for Nonlinear Equations (14 papers). E. W. Sachs is often cited by papers focused on Advanced Optimization Algorithms Research (26 papers), Matrix Theory and Algorithms (22 papers) and Iterative Methods for Nonlinear Equations (14 papers). E. W. Sachs collaborates with scholars based in Germany, United States and Brazil. E. W. Sachs's co-authors include C. T. Kelley, Arne Strauss, W.A. Gruver, Roland Herzog, Karl Kunisch, Stefan Volkwein, F. Leibfritz, John A. Burns, Johannes Jahn and Klaus Glashoff and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Climate and European Journal of Operational Research.

In The Last Decade

E. W. Sachs

71 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
E. W. Sachs	617	577	449	251	181	72	1.2k
Gustaf Söderlind	648 1.1×	456 0.8×	505 1.1×	329 1.3×	184 1.0×	47	1.4k
Houduo Qi	732 1.2×	694 1.2×	428 1.0×	123 0.5×	71 0.4×	68	1.4k
Robert S. Womersley	714 1.2×	609 1.1×	415 0.9×	116 0.5×	56 0.3×	53	1.4k
Hasnaa Zidani	205 0.3×	402 0.7×	244 0.5×	339 1.4×	55 0.3×	69	1.0k
L. B. Rall	604 1.0×	634 1.1×	160 0.4×	123 0.5×	61 0.3×	46	1.3k
James W. Daniel	538 0.9×	474 0.8×	290 0.6×	136 0.5×	47 0.3×	38	1.1k
I. P. Gavrilyuk	638 1.0×	387 0.7×	380 0.8×	97 0.4×	57 0.3×	79	1.4k
Annie Cuyt	308 0.5×	354 0.6×	191 0.4×	78 0.3×	201 1.1×	132	1.3k
Augusto Ferrante	296 0.5×	288 0.5×	129 0.3×	707 2.8×	239 1.3×	125	1.4k
M. N. Spijker	905 1.5×	405 0.7×	643 1.4×	74 0.3×	84 0.5×	53	1.1k

Countries citing papers authored by E. W. Sachs

Since Specialization

Citations

This map shows the geographic impact of E. W. Sachs's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by E. W. Sachs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. W. Sachs more than expected).

Fields of papers citing papers by E. W. Sachs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. W. Sachs. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by E. W. Sachs. The network helps show where E. W. Sachs may publish in the future.

Co-authorship network of co-authors of E. W. Sachs

This figure shows the co-authorship network connecting the top 25 collaborators of E. W. Sachs. A scholar is included among the top collaborators of E. W. Sachs based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with E. W. Sachs. E. W. Sachs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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